Original listing text, shown exactly as published by the company.
What you will do
You join Mistral’s Solutions team. Your mission: take our models and make them indispensable for our enterprise clients.
In practice
- You own a portfolio of enterprise clients. You’re their primary point of contact working as a co-builder with them
- You identify the highest-impact use cases, structure the deployment, and unblock friction
- You bridge the gap between what our models can do and what the client needs to solve. Sometimes it’s a prompting problem. Sometimes it’s a CEO problem.
- You feed signal back to product and research. You are the eyes and ears on the ground.
Two tracks, one entry point
Depending on your background, you’ll be oriented toward one of two trajectories
Deployment Strategist (usually ex‑CEO/COO or a BD/Sales founder)
- Focused on deployment strategy, the business case, C‑level adoption, and expanding accounts
- Delivers executive workshops, adoption roadmaps, and ROI proposals
Applied AI Engineer (usually an ex‑CTO, technical founder, or lead engineer)
- Focused on integration architecture, fine‑tuning, RAG/agents, and production deployment
- Delivers prototypes, deployment pipelines, client code, and open‑source contributions
About you
- You’ve founded or co-founded a company, no matter the size or sector or if it’s still running
- You’ve sold a product to customers, built a team, or raised money. You know what “skin in the game” means.
- You can talk to a CEO in the morning and debug a pipeline in the afternoon or at least know who to call to get it done.
- You’re comfortable with ambiguity. We won’t hand you a 50-page playbook. We’ll hand you a client and an objective.
- You have genuine curiosity about AI. You don’t need to have trained a model, but you need to understand what this technology is and why it changes everything.
